A recursive algorithm for scheduling of tasks in a heterogeneous distributed environment. - Yan Kang 003; Ying Lin 004 (BMEI, 2011)

A Job Shop Scheduling Algorithm Using Big Bang-Big Crunch Strategy. - Yan Kang 003; Hao Li 021; Chunhui Wang; Li Dai (CIS, 2016)

Urban Traffic Flow Forecast Based on ST-SEResNet. - Yan Kang 003; Hao Li 021; Ruicheng Niu; Yaoyao Yuan; Xudong Liu (ICAIS (2), 2019)

Generative Adversarial Network-Based Regional Epitaxial Traffic Flow Prediction. - Yan Kang 003; Jinyuan Li; Shin-Jye Lee; Hao Li 021 (ICNC-FSKD, 2019)

A transfer learning algorithm for automatic requirement model generation. - Yan Kang 003; Hao Li 021; Chenyang Lu 004; Bin Pu (J. Intell. Fuzzy Syst., 2019)

Research on massive ECG data in XGBoost. - Hao Li 021; Bin Pu; Yan Kang 003; Chen Yang Lu (J. Intell. Fuzzy Syst., 2019)

Fuzzy Multi-objective Requirements for NRP Based on Particle Swarm Optimization. - Yachuan Zhang; Hao Li 021; Rongjing Bu; Chenming Song; Tao Li; Yan Kang 003; Tie Chen (ICAIS (2), 2020)

A Fusion of Java Domain Knowledge Base and Siamese Network for Java API Recommendation. - Hao Li 021; Tao Li; Sheng Zhong; Yan Kang 003; Tie Chen (QRS Companion, 2020)

A Novel Mutual Fractional Grey Bernoulli Model With Differential Evolution Algorithm and Its Application in Education Investment Forecasting in China. - Wanli Xie; Bin Pu; Chunying Pei; Shin-Jye Lee; Yan Kang 003 (IEEE Access, 2020)

Deep Spatio-Temporal Modified-Inception with Dilated Convolution Networks for Citywide Crowd Flows Prediction. - Yan Kang 003; Bing Yang; Hao Li 021; Tie Chen; Yachuan Zhang (Int. J. Pattern Recognit. Artif. Intell., 2020)

融合自注意力机制和多路金字塔卷积的软件需求聚类算法 (Software Requirements Clustering Algorithm Based on Self-attention Mechanism and Multi- channel Pyramid Convolution). - Yan Kang 003; Guorong Cui; Hao Li 021; Qiyue Yang; Jinyuan Li; Peiyao Wang (计算机科学, 2020)

ST-IFC: efficient spatial-temporal inception fully connected network for citywide crowd flow prediction. - Yan Kang 003; Bing Yang; Lan Zhang; Tie Chen; Hao Li 021 (Int. J. Sens. Networks, 2021)

ST-LBAGAN: Spatio-temporal learnable bidirectional attention generative adversarial networks for missing traffic data imputation. - Bing Yang; Yan Kang 003; Yaoyao Yuan; Xin Huang; Hao Li 021 (Knowl. Based Syst., 2021)

GGAC: Multi-relational image gated GCN with attention convolutional binary neural tree for identifying disease with chest X-rays. - Bing Yang; Yan Kang 003; Lan Zhang; Hao Li 021 (Pattern Recognit., 2021)

MDAFF-Net: A Multi-scale Dual-attention Feature Fusion Model for Long-term Traffic Prediction. - Yan Kang 003; Siyu Xie; Bin Pu (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation. - Yun Yang 003; Yulong Rao; Minghao Yu; Yan Kang 003 (Neural Networks, 2022)

HWOA: an intelligent hybrid whale optimization algorithm for multi-objective task selection strategy in edge cloud computing system. - Yan Kang 003; Xuekun Yang; Bin Pu; Xiaokang Wang 001; Haining Wang 006; Yulong Xu; Puming Wang (World Wide Web, 2022)

A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics. - Yan Kang 003; Haining Wang 006; Bin Pu; Liu Tao; Jianguo Chen 001; Philip S. Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

HN-PPISP: a hybrid network based on MLP-Mixer for protein-protein interaction site prediction. - Yan Kang 003; Yulong Xu; Xinchao Wang; Bin Pu; Xuekun Yang; Yulong Rao; Jianguo Chen 001 (Briefings Bioinform., 2023)

STGHTN: Spatial-temporal gated hybrid transformer network for traffic flow forecasting. - Jiansong Liu; Yan Kang 003; Hao Li 021; Haining Wang 006; Xuekun Yang (Appl. Intell., 2023)

TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems. - Yan Kang 003; Haining Wang 006; Bin Pu; Jiansong Liu; Shin-Jye Lee; Xuekun Yang; Liu Tao (Neural Comput. Appl., 2023)

Correction to: TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems. - Yan Kang 003; Haining Wang 006; Bin Pu; Jiansong Liu; Shin-Jye Lee; Xuekun Yang; Liu Tao (Neural Comput. Appl., 2023)

MOPISDE: A collaborative multi-objective information-sharing DE algorithm for software clustering. - Yan Kang 003; Wentao Xie; Xiaopeng Wang; Haining Wang 006; Xinchao Wang; Jinyuan Li (Expert Syst. Appl., 2023)

BBLN: A bilateral-branch learning network for unknown protein-protein interaction prediction. - Yan Kang 003; Xinchao Wang; Cheng Xie; Huadong Zhang; Wentao Xie (Comput. Biol. Medicine, 2023)

UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style. - Yan Kang 003; Hao Lin; Mingjian Yang; Shin-Jye Lee (DASFAA (3), 2024)

HICL: Hierarchical Intent Contrastive Learning for sequential recommendation. - Yan Kang 003; Yancong Yuan; Bin Pu; Yun Yang 003; Lei Zhao 013; Jing Guo (Expert Syst. Appl., 2024)

Inter-structure and intra-semantics graph contrastive learning for disease prediction. - Yan Kang 003; Jingyu Zheng; Mingjian Yang; Ning An (Knowl. Based Syst., 2024)

A hybrid style transfer with whale optimization algorithm model for textual adversarial attack. - Yan Kang 003; Jianjun Zhao; Xuekun Yang; Baochen Fan; Wentao Xie (Neural Comput. Appl., 2024)

A Fast Hybrid Feature Selection Method Based on Dynamic Clustering and Improved Particle Swarm Optimization for High-Dimensional Health Care Data. - Yan Kang 003; Luhan Peng; Jing Guo; Yuhuan Lu; Yun Yang 003; Baochen Fan; Bin Pu (IEEE Trans. Consumer Electron., 2024)

A Deep Graph Network with Multiple Similarity for User Clustering in Human-Computer Interaction. - Yan Kang 003; Bin Pu; Yongqi Kou; Yun Yang 003; Jianguo Chen 001; Khan Muhammad 001; Po Yang 001; Lida Xu; Mohammad Hijji (ACM Trans. Multim. Comput. Commun. Appl., 2024)

MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow Forecasting. - Bin Pu; Jiansong Liu; Yan Kang 003; Jianguo Chen 001; Philip S. Yu (IEEE Trans. Cybern., 2024)

MGMFN: Multi-graph and MLP-mixer fusion network for Chinese social network sentiment classification. - Yan Kang 003; Xuekun Yang; Lan Zhang; Xuan Luo; Yulong Xu; Haining Wang 006; Jiansong Liu (Multim. Tools Appl., 2024)

A novel multi-view contrastive learning for herb recommendation. - Qiyuan Yang; Zhongtian Cheng; Yan Kang 003; Xinchao Wang (Appl. Intell., 2024)

Multi-view framework for multi-label bioactive peptide classification based on multi-modal representation learning. - Yan Kang 003; Yue Peng; Dongsheng Zheng; Huadong Zhang; Xuekun Yang (Appl. Soft Comput., 2025)

MFF-Net: A multi-view feature fusion network for generalized forgery image detection. - Ying Lin 004; Tenglong Mao; Ziyi Chen; Hong Lu; Zhaoyu Chen; Yan Kang 003 (Neurocomputing, 2025)

LLM-DG: Leveraging large language model for enhanced disease prediction via inter-patient and intra-patient modeling. - Yan Kang 003; Mingjian Yang; Yue Peng; Jingwen Cai; Lei Zhao 013; Zhan Gao; Ningshu Li; Bin Pu (Inf. Fusion, 2025)

Tri-level interaction fusion network for graph similarity learning. - Yan Kang 003; Hao Peng; Yue Peng; Jing Guo; Ying Lin 004 (Knowl. Based Syst., 2025)

Dual-metric guided multi-strategy hybrid optimization for feature selection on high-dimensional medical data. - Yan Kang 003; Dongsheng Zheng; Haining Wang 006; Yue Peng; Shixuan Zhou (Swarm Evol. Comput., 2025)

Transfer Learning for Dynamic Community Knowledge Detection Based on Dual-Population Cooperation and Competition. - Yan Kang 003; Baochen Fan; Ziyi Ma; Jing Guo; Tianjing Li; Kang Pu (IEEE Trans. Comput. Soc. Syst., 2025)